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Countering method for active jamming based on dual-polarization radar seeker

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Countering method for active jamming based on dual-polarization radar seeker

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Abstract

In order to counter active jamming, an adaptive polarization cancellation method based on dual-polarization radar is proposed in the paper. First, respectively being obtained by vertical and horizontal polarization channels of dual-polarization radar, the signals from the real target and active jamming are analyzed in composition and characteristic. Then, the weight coefficient is timely derived in practical scene to adjust difference of amplitude and phase of active jamming signals respectively acquired by the two orthogonal polarization channels, so the method can completely eliminate active jamming, but just a little power change for the real target signal. Furthermore, a compensating method for the target signal is developed to improve the angle measuring accuracy of monopulse radars. And the influence factors of adaptive polarization cancellation are analyzed in detail by simulation. Finally, the experimental results prove that it is very effective on both active blanket jamming and active deception jamming.

I. INTRODUCTION

As a significant electromagnetic interference, active jamming is a great threat to the survival of guidance radars. It can be classified into active blanket jamming and active deception jamming. By active blanket jamming is meant the suppression noise with high power to reduce signal-to-noise ratio (SNR) of the received signal, while by active deception jamming is meant the electromagnetic decoy as the same characteristic as the real target in time–frequency domain. In order to interfere in various radars with different polarization forms, the two types of active jamming always take the form of circular polarization [1–3].

Since for the difference between active jamming and the target in polarization field, the application of polarization technology for countering active jamming is drawing more and more scholars' attention. The main methods for countering active jamming are polarization encoding [4, 5], hypercomplex and spatiotemporal-polarization processing [6], and polarization filtering [7–9]. The first two methods are difficult to apply in practical engineering, because they need complex systems and not meet the requirement of miniaturization. While which is studied more extensively, the method of polarization filter can form single-notch or multi-notch at the polarization angle of jamming through polarization diversity. So the radar can receive normal target echo, but less electromagnetic wave signal from active jamming, certainly the SNR of the received signal is greatly improved. But an additional bulky polarization transformation device must be utilized to make the polarization form of the radar against that of the present active jamming. A null phase-shift polarization filtering method was presented by Mao and Liu [10]. Adaptively adjusting the parameters of polarization filter according to the polarization form of jamming and compensating the error of phase and amplitude after filtering, it can reduce the error between the filtered signal and the real target signal, and not disturb coherent processing of the filtered signal. But it is also difficult to meet the requirements of radar seekers, because it still requires a large amount of front-end equipment to deal with the variation of polarization forms. An improved method based on the research of literature [10] was proposed [11]. The polarization parameters of echo signal are obtained just by analyzing the modulation influence of spatial polarization of the guidance radar with a single polarization antenna, and then it does the same filtering processing as literature [10]. The method seems to reduce complexity of the front-end equipment of polarization radars. But the gain of orthogonal polarization pattern for a single polarization antenna is usually 30 dB lower than that of main polarization pattern, evidently the reliability of the obtained polarization parameters is greatly lowered and the result of countering active jamming is also not desirable enough.

With the development of antenna technology, multi-polarization antennas with common aperture [12, 13] are no longer a problem, which will greatly accelerate the application of polarization anti-jamming technology to guidance radars. According to the public reporting, there is a dual-polarization radar seeker at 94 GHz carried by brimstone missile on active service, which is developed by a MBDA missile system [14]. A polarization ECCM technique was proposed to counter active blanket jamming based on dual-polarization radar [15]. Because of neglecting the cross-polarized component of the target echo and not being compensated, the method does poorly in angle measurement. Based on the practical engineering application of dual-polarization radar seekers, this paper puts forward an adaptive polarization cancellation method to counter active jamming. Without increasing any other hardware more, the method can achieve good cancellation effects on both active blanket jamming and active deception jamming, so it is very meaningful for engineering application.

The remainder of this paper is organized as follows. Signal models of a real target and active jamming are introduced in Section II. The characteristic of the dual-polarization radar is analyzed and the practical signals obtained by the dual-polarization radar are described in Section III. Then Section IV addresses the principle of adaptive polarization cancellation, and discusses the influence factors of cancellation result. Experimental results and analysis are shown in Section V. Finally, Section VI concludes the paper.

II. SIGNAL MODELS OF RADAR TARGET AND ACTIVE JAMMING

In a horizontal and vertical polarization coordinate system, electromagnetic wave signal transmitted by radar can be described as

where g is the gain of radar antenna, Pt is the peak power of transmitted signal, Lt is the comprehensive loss, fc is the carrier frequency, s(t) is the modulation function of radar signal, and h = [hHhV] is the polarization form of the antenna. For convenience of description, the transmitted signal can be simplified as

(2)

$${\bi e}_{\bi t}({\bi t}) = gA_t{\bi h}{\rm,}$$

where $A_t = \sqrt {(P_t/4\pi L_t)} e^{j2\pi f_ct}s(t)$.

So at the receiving port of radar antenna, the backscattering echo from a target can be described as

Here R represents the slant range between the radar and the target; fd represents the Doppler frequency caused by target motion; τ = 2R/c represents the delay time of target echo, c represents the speed of light;

where SHV denotes the vertical polarization backscattering coefficient of the target irradiated by horizontal polarization wave, SHH, SVH, and SVV are the same definition as SHV, ω is the phase of SHH, $\emptyset _{HV}$, $\emptyset _{VH},$ and $\emptyset _{VV}$ are respective phases of SHV, SVH, and SVV.

In practical engineering applications, dual-polarization radars are commonly used. They have the ability of single polarization transmission, but dual-polarization channels receiving simultaneously. Taking vertical polarization transmission for example, only half PSM of the target can be obtained, and it is simplified as

(7)

$${\bi S} = [\matrix{ {S_{VH}} & {S_{VV}} \cr} ]{\rm.}$$

Here SVV represents the co-polarized component that includes the same echo information as the conventional single polarization radar; SVH represents the cross-polarized component, which denotes the converting polarization ability of the target and is the main polarization characteristic obtained by dual-polarization radars.

For typical radar targets, such as aircrafts, warships, tanks, buildings, and so on, the polarization form of their backscattering electromagnetic wave is greatly related to that of the incident electromagnetic wave. It means that the polarization form of their backscattering electromagnetic wave is mainly as the same as that of the incident electromagnetic wave. In other words, their co-polarized ability is much greater than the converting polarization ability. So the value of SVV is much greater than SVH, and that is to say |STVV| ≫ |STVH| [17]. Here STVV and STVH are respectively SVV and SVH of the targets.

For active jamming, it is usually of circular polarization. Thus, its polarization form can be expressed as hJ = [j.sinwt coswt] or hJ = [j.sinwt coswt], which respectively denote left- and right-hand circular polarizations. The powers received by vertical- and horizontal polarization antennas from active jamming with standard circular polarization are equal, but they are 3 dB lower than that received by the matching circular polarization antenna. If active jamming is considered as a special target, it is evidently |SJVV| = |SJVH|, and the difference between SJVV and SJVH is just the phase [2]. Here SJVV and SJVH are respectively SVV and SVH of active jamming. Therefore, the method of polarization cancellation can be introduced to suppress active jamming. Note that the polarization form of active jamming in practical engineering is not usually a standard circle, so the axial ratio of the circle is just close to but not 1. That is to say, it is usually |SJVV| ≈ |SJVH| in practical engineering.

According to Section II, the signal models for dual-polarization radars should be developed as follows. When the radar is being interfered with by active jamming, the signal received by vertical polarization channel can be described as

where kvRF is the RF amplification coefficient of vertical polarization channel, gv is the gain of vertical polarization antenna, Lvr is the receiver loss of vertical polarization channel, hv is the polarization form of vertical polarization antenna, and nv(t) is the noise of vertical polarization channel.

Substituting equations (3) and (4) into (8), equation (9) can be obtained.

where khRF is the RF amplification coefficient of horizontal polarization channel, gh is the gain of horizontal polarization antenna, Lhr is the receiver loss of horizontal polarization channel, and nh(t) is the noise of horizontal polarization channel.

IV. ADAPTIVE POLARIZATION CANCELLATION OF ACTIVE JAMMING

A) Principle of adaptive polarization cancellation

From equations (9) and (10), the signals obtained by vertical- and horizontal channels differ in both amplitude and phase. To make the active jamming be completely cancelled, the amplitude and phase of active jamming signals obtained by the two channels should be made consistent. So the weight coefficient of polarization cancellation can be defined as

From equation (13), active jamming can be completely eliminated in theory, but the signal power received from the target is changed. It will reduce the angle-measuring accuracy of monopulse radars with sum and difference patterns of amplitude, because the method of monopulse angle measurement is sensitive for the amplitude of the target signal [18, 19].

In practical engineering, both amplitude difference and phase difference between vertical and horizontal channels of the dual-polarization radar caused by the hardware system can be adjusted easily as was described in prior publications [20, 21]. So the weight coefficient of polarization cancellation can be simplified as

represents the amplitude ratio of the signals obtained by the two orthogonal polarization channels. When the dual-polarization radar does not emit electromagnetic wave, its received signal must be only from active jamming. So EJv(t) and EJh(t) can be easily obtained.

In equation (12), Eh(t) = EJh(t) + ETh(t), where ETh(t) is the horizontal component of the target echo, thus it is regarded as jamming signal and eliminated in error. To improve angle-measuring accuracy, the target signal power after polarization cancellation should be adjusted as

For monopulse radars, equation (15) must be used in both sum signal and difference signal simultaneously. Eliminating most active jamming signal and adjusting the power change introduced by polarization cancellation, the method will greatly improve the angle-measuring accuracy. But Ev(t) and EJv(t) are not obtained at the same time, so it may introduce extra phase difference and the target signal after it cannot retain coherent perfectly.

Therefore, equations (12) and (13) should be chosen to counter active jamming when the radar needs coherent integration. Because the same value of φ is used in the whole integration period, the phase of target signal will keep consistent and the polarization cancellation method will not reduce the gain of coherent integration. In addition, the co-polarized component is much greater than the cross-polarized component for typical radar targets and the axial ratio of active jamming is usually close to 1, so the signal power after polarization cancellation received from the target is just made a little change. It has little influence for subsequent signal processing besides monopulse angle measurement.

The proposed method above needs not any parameters of active jamming in prior, and can adaptively obtain the weight coefficient of polarization cancellation in time. Then, it adaptively does different cancellation processing according to requirements, equation (12) for coherent integration and equation (15) for monopulse angle measurement.

B) Influence factors of polarization cancellation

According to equation (12), the weight coefficient φ is unquestionably a key factor related to the efficiency of polarization cancellation. In the process of adaptive polarization cancellation, φ is obtained from the actual environment in real time, then it will be used for the following echo pulses. So there are some errors between the obtained φ and the real φ of every pulse, certainly the loss of polarization cancellation will be introduced.

In this paper, the gain of signal-to-interference-and-noise ratio (GSINR) is defined as the improvement factor to evaluate the efficiency of polarization cancellation. It is expressed as

(16)

$$G_{SINR} = SINR_{out} - SINR_{in},$$

where SINRin represents signal-to-interference-and-noise ratio (SINR) of input signal, and SINRout represents SINR of output signal. In addition, SINR is defined as

(17)

$$SINR = 10\;{\rm log}\displaystyle{{P_S} \over {P_I + P_N}},$$

where PS represents the power of the target signal, PI represents that of interference, and PN represents that of noise.

When SINRs of two input signals are −7 and −3 dB, their three-dimensional diagrams of GSINR after polarization cancellation with the change of amplitude and phase errors of φ are respectively shown in Figs 1 and 2. Here, the x-axis denotes the amplitude error Δp, the y-axis denotes the phase error Δwvh, and the z-axis denotes GSINR. It is evidently that GSINR is extremely sensitive to Δp and decays rapidly with the increase of Δp, but not sensitive to Δwvh.

Fig. 1.GSINR with the change of amplitude and phase errors of φ, when SINR = −7 dB.

Fig. 2.GSINR with the change of amplitude and phase errors of φ, when SINR = −3 dB.

On the other hand, noise and interference are surely influence factors of polarization cancellation. Thus, the influence of SINR is also analyzed in Fig. 3, where the x-axis represents SINR of the input signal, and the y-axis represents GSINR. The diagram shows that GSINR increases with the increase of SINR, and GSINR reaches the peak when SINR is approximately 10 dB, then decays slowly. Note that SINR most depends on the radar system and the practical scene, so it is difficult to be improved.

Fig. 3.GSINR with the change of SINR.

In the two simulations, the radar signal is linear frequency modulation signal, and the ratio of co-polarized-to-cross-polarized component of the target signal is 6. According to the analysis above, it is obviously that the amplitude value of φ is the most sensitive factor, so ensuring real time update of φ and reducing its error is very important in the process of polarization cancellation.

V. EXPERIMENTAL RESULTS AND ANALYSIS

In order to prove the effectiveness of the proposed method for countering active jamming, real experimental data obtained by the dual-polarization radar in millimeter wave band is analyzed. In the experiment, an angle reflector is used as the target, and it is approximately 1000 range units far from the radar, then an active blanket jammer and an active deception jammer are respectively used to emit interference signal at the radar.

Their results after the proposed adaptive polarization cancellation for active blanket jamming are shown in Figs 4–6. In which, Fig. 4 is the one-dimensional range profile obtained by vertical polarization transmission and vertical polarization receiving (VV) channel of the dual-polarization radar, Fig. 5 is that obtained by vertical polarization transmission and horizontal polarization receiving (VH) channel, and Fig. 6 is the result after polarization cancellation. From them, the target has been completely drowned by interference signal in the VV channel, but the interference signal is perfectly eliminated and the target is effectively retained after polarization cancellation. Figures 7–9 are the same meaning as above for active deception jamming. Although they are difficult to distinguish from the real target in the VV channel, the deception decoys are also completely eliminated with the retaining of the real target after polarization cancellation.

In addition, the comparison of monopulse angle measuring value is given in Table 1. In the experiment, the target and the active deception jammer are located at the same azimuthal direction of −0.5° off the boresight of the radar, while the active blanket jammer is nearly located at 1.5°. Making the angle estimation value acquired by the monopulse method without jamming as the standard value of the real target angle, it is obviously that the method proposed in this paper for countering active jamming can improve the angle-measuring accuracy greatly; and the result is also much better than the method in [15].

Table 1. Comparison of monopulse angle measuring value.

It is important to note that, the projection effect of geometry on the polarization vector is neglected in this paper, but the experimental results show that the proposed method is also quite meaningful.

VI. CONCLUSION

In this paper, a countering method for active jamming is proposed based on dual-polarization radar seeker. Both active blanket jamming and active deception jamming can be eliminated perfectly, and the angle-measuring accuracy of monopulse radars is also improved greatly. Since it needs not any other hardware source more, the proposed method is in the vantage of size and complexity, which is significant for guidance radars. In addition, it can be realized before pulse compression, and does not affect the subsequent signal processing, such as coherent integration and imaging, so it is of a high value for engineering applications.

ACKNOWLEDGEMENT

This work was supported by the National Natural Science Foundation of China (Grant No. U1433126).

Qiang Zhang received his Ph.D. degree in Signal and Information Processing from the Chinese Academy of Sciences in 2012. He served as a senior engineer at Southwest China Institute of Electronic Technology in 2012–2015. He is now an Associate Professor at the College of Air Traffic Management, Civil Aviation Flight University of China. He is active in the areas of polarization technology, radar system design, image processing, and target recognition.

Weijun Pan received his Ph.D. degree in Computer Application from Sichuan University, China, in 2012. He is now a professor at College of Air Traffic Management, Civil Aviation Flight University of China. His research interests include radar system, air traffic management, computer application, and safety engineering.